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        "author": "Kai Chen",
        "author_email": "chenkaidev@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Utilities"
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        "description": "# Introduction\n\n[![PyPI Version](https://img.shields.io/pypi/v/cvbase.svg)](https://pypi.python.org/pypi/cvbase)\n[![Python Version](https://img.shields.io/pypi/pyversions/cvbase.svg)]()\n[![Build Status](https://travis-ci.org/hellock/cvbase.svg?branch=master)](https://travis-ci.org/hellock/cvbase)\n[![Coverage Status](https://codecov.io/gh/hellock/cvbase/branch/master/graph/badge.svg)](https://codecov.io/gh/hellock/cvbase)\n\n\n`cvbase` is a miscellaneous set of tools which maybe helpful for computer vision research.\nIt comprises the following parts.\n\n- IO helpers\n- Image/Video operations\n- OpenCV wrappers for python2/3 and opencv 2/3\n- Timer\n- Progress visualization\n- Plotting tools\n- Object detection utils\n\nTry and start with\n\n```shell\npip install cvbase\n```\n\nSee [documentation](http://cvbase.readthedocs.io/en/latest) for more features and usage.\n\n## Some popular features\nThere are some popular features such as progress visualization, timer, video to frames/frames to videos.\n\n\n- Progress visualization\n\n    If you want to apply a method to a list of items and track the progress, `track_progress`\n    is a good choice. It will display a progress bar to tell the progress and ETA.\n\n    ```python\n    import cvbase as cvb\n\n    def func(item):\n        # do something\n        pass\n\n    tasks = [item_1, item_2, ..., item_n]\n\n    cvb.track_progress(func, tasks)\n    ```\n\n    The output is like the following.\n    ![progress](docs/_static/progress.gif)\n\n    There is another method `track_parallel_progress`, which wraps multiprocessing and\n    progress visualization.\n\n    ```python\n    import cvbase as cvb\n\n    def func(item):\n        # do something\n        pass\n\n    tasks = [item_1, item_2, ..., item_n]\n\n    cvb.track_parallel_progress(func, tasks, 8)\n    # 8 workers\n    ```\n\n- Timer\n\n    It is convinient to computer the runtime of a code block with `Timer`.\n\n    ```python\n    import time\n\n    with cvb.Timer():\n        # simulate some code block\n        time.sleep(1)\n    ```\n\n    Or try a more flexible way.\n\n    ```python\n    timer = cvb.Timer()\n    # code block 1 here\n    print(timer.since_start())\n    # code block 2 here\n    print(timer.since_last_check())\n    print(timer.since_start())\n    ```\n\n- Video/Frames conversion\n\n    To split a video into frames.\n\n    ```python\n    video = cvb.VideoReader('video_file.mp4')\n    video.cvt2frames('frame_dir')\n    ```\n    Besides `cvt2frames`, `VideoReader` wraps many other useful methods to operate a video like a list object, like\n\n    ```\n    video = cvb.VideoReader('video_file.mp4')\n    len(video)  # get total frame number\n    video[5]  # get the 6th frame\n    for img in video:  # iterate over all frames\n        print(img.shape)\n    ```\n\n    To generate a video from frames, use the `frames2video` method.\n\n    ```python\n    video = cvb.frames2video('frame_dir', 'out_video_file.avi', fps=30)\n    ```\n\n- Video editing (needs ffmpeg)\n\n    To cut a video.\n\n    ```python\n    cvb.cut_video('input.mp4', 'output.mp4', start=3, end=10)\n    ```\n\n    To join two video clips.\n\n    ```python\n    cvb.concat_video(['clip1.mp4', 'clip2.mp4'], 'output.mp4')\n    ```\n\n    To resize a video.\n\n    ```python\n    cvb.resize_video('input.mp4', 'resized.mp4', (360, 240))\n    # or\n    cvb.resize_video('input.mp4', 'resized.mp4', ratio=2)\n    ```\n\n    To convert the format of a video.\n\n    ```python\n    cvb.convert_video('input.avi', 'output.mp4', vcodec='h264')\n    ```\n\n\n\n",
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